Longitudinal epidemiological study of subjective sleep quality in Japanese adolescents to investigate predictors of poor sleep quality

2021 ◽  
Author(s):  
Yuuki Matsumoto ◽  
Yoshitaka Kaneita ◽  
Osamu Itani ◽  
Yuichiro Otsuka ◽  
Yu Kinoshita
Keyword(s):  
Sleep Quality ◽  
Epidemiological Study ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Subjective Sleep Quality ◽  
Subjective Sleep ◽  
Japanese Adolescents

scholarly journals Psychological Distress Induces Poor Sleep Quality: A Cross-Sectional Study of Pharmacy Students in Bandung City, Indonesia

2018 ◽  
Vol 11 (1) ◽  
pp. 369-375 ◽  
Author(s):  
Sofa D. Alfian ◽  
Henry Ng ◽  
Dika P. Destiani ◽  
Rizky Abdulah
Keyword(s):  
Psychological Distress ◽  
Sleep Quality ◽  
Undergraduate Students ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Cross Sectional Survey ◽  
Subjective Sleep Quality ◽  
Cross Sectional ◽  
Subjective Sleep

Introduction: Poor subjective sleep quality in undergraduate students has not been widely studied in Bandung city, Indonesia. Poor sleep quality has been related to a number of risk factors for poor health outcomes. Objective: To analyze the association between psychological distress and subjective sleep quality. Methods: A cross sectional survey was done in one of the universities of Bandung city, Indonesia. Data were collected from 290 undergraduate students selected through consecutive sampling. Pittsburg Sleep Quality Index (PSQI) and Kessler-10 questionnaire were administered. Results: The prevalence of psychological distress was well (43.1%), mild (28.6%), moderate (20.7%), and severe (7.6%). The overall sleep quality was poor and good in 84.5% and 15.5% of the students. There was a significant association between psychological distress and poor sleep quality (p=0.006). The multivariate analysis suggested that psychological distress was a predictor of poor sleep quality (OR 1.991; 95% CI, 1.311−3.026). Conclusion: There is a need for an awareness of the college resources to help manage the stress levels of students through effective coping strategy-related study habits.

scholarly journals Partners of patients with sleep apnoea/hypopnoea syndrome: effect of CPAP treatment on sleep quality and quality of life

Thorax ◽  
2001 ◽  
Vol 56 (7) ◽  
pp. 513-518
Author(s):  
N McArdle ◽  
R Kingshott ◽  
H M Engleman ◽  
T W Mackay ◽  
N J Douglas
Keyword(s):  
Health Status ◽  
Sleep Quality ◽  
Sleep Apnoea ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Subjective Sleep Quality ◽  
Subjective Sleep ◽  
Cpap Treatment ◽  
Reported Health ◽  
Self Reported Health Status

BACKGROUNDThe sleep apnoea/hypopnoea syndrome (SAHS) causes snoring, apnoeas, and restlessness during sleep which partners frequently complain about. A study was undertaken to determine the impact on partners of SAHS and of treatment of the patient with continuous positive airway pressure (CPAP).METHODSForty nine partners and patients with SAHS booked for CPAP treatment completed in house and validated questionnaires (Pittsburgh sleep quality index, Short Form 36 self-reported health status) before the patient started treatment. Twenty three couples in whom the index SAHS patient had no driving problems were recruited to a randomised crossover trial with 1 month limbs of CPAP and placebo capsule. At the end of each limb the partners' sleep was monitored by home polysomnography (PSG) and questionnaires were completed.RESULTSBefore treatment partners frequently reported moderate to severe disturbance from patient snoring/apnoeas/restlessness and had poor sleep quality and self-reported health status. In the crossover study (22 completed) the partners' objective sleep quality did not differ between CPAP and placebo, but they reported benefit from treatment of the patients with CPAP in subjective sleep quality (p=0.05) and disturbance to sleep (p=0.03). The reported change in partners' sleep quality between pre-study and following CPAP treatment correlated positively with CPAP use (r=0.5, p=0.01).CONCLUSIONSPartners of patients with SAHS have poor sleep quality and self-reported health status but only subjective sleep quality benefits from treatment of the patient with CPAP.

scholarly journals Subjective sleep quality and association with depression syndrome, chronic diseases and health-related physical fitness in the middle-aged and elderly

2020 ◽  
Author(s):  
Min-Fang Hsu ◽  
Kang-Yun Lee ◽  
Tsung-Ching Lin ◽  
Wen-Te Liu ◽  
Shu-Chuan Ho
Keyword(s):  
Depressive Symptoms ◽  
Physical Fitness ◽  
Sleep Quality ◽  
Chronic Diseases ◽  
Poor Sleep ◽  
Middle Aged ◽  
Poor Sleep Quality ◽  
Subjective Sleep Quality ◽  
Subjective Sleep ◽  
Health Related

Abstract Background: As a complex phenomenon, sleep quality is difficult to objectively define and measure, and multiple factors related to sleep quality, such as age, lifestyle, physical activity, and physical fitness, feature prominently in older adult populations. The aim of the present study was to evaluate subjective sleep quality using the Pittsburgh Sleep Quality Index (PSQI) and to associate sleep quality with health-related physical fitness factors, depressive symptoms, and the number of chronic diseases in the middle-aged and elderly.Methods: We enrolled a total of 283 middle-aged and elderly participants from a rehabilitation clinic or health examination department. The PSQI was used to evaluate sleep quality. The health-related fitness assessment included anthropometric and physical fitness parameters. Depressive symptoms were measured with the Center for Epidemiologic Studies Depression Scale (CES-D) short form. Data were analyzed with SPSS 18.0, and descriptive statistics and logistic regression analysis were used for the analyses.Results: Overall, 27.9% of participants in this study demonstrated poor sleep quality (with a PSQI score of >5), 10.2% of study participants frequently used sleep medication to help them fall asleep, and 6.0% reported having significant depressive symptoms (with a CES-D score of ≥10). There are two major findings: (1) depression symptoms, the number of chronic diseases, self-rated health, and arthritis were significantly associated with a poor sleep quality, and (2) the 2-min step test was associated with longer sleep latency. These results confirmed that the 2-min step was associated with a longer sleep latency among the health-related physical fitness items.Conclusions: Our study found that depressive syndrome, chronic disease numbers, a poor self-rated health status, and arthritis were the main risk factors that influenced subjective sleep quality.

scholarly journals Subjective sleep quality and association with depression syndrome, chronic diseases and health-related physical fitness in the middle-aged and elderly

2020 ◽  
Author(s):  
Min-Fang Hsu ◽  
Kang-Yun Lee ◽  
Tsung-Ching Lin ◽  
Wen-Te Liu ◽  
Shu-Chuan Ho
Keyword(s):  
Depressive Symptoms ◽  
Physical Fitness ◽  
Sleep Quality ◽  
Chronic Diseases ◽  
Poor Sleep ◽  
Middle Aged ◽  
Poor Sleep Quality ◽  
Subjective Sleep Quality ◽  
Subjective Sleep ◽  
Health Related

Abstract Background: As a complex phenomenon, sleep quality is difficult to objectively define and measure, and multiple factors related to sleep quality, such as age, lifestyle, physical activity, and physical fitness, feature prominently in older adult populations. The aim of the present study was to evaluate subjective sleep quality using the Pittsburgh Sleep Quality Index (PSQI) and to associate sleep quality with health-related physical fitness factors, depressive symptoms, and the number of chronic diseases in the middle-aged and elderly.Methods: We enrolled a total of 283 middle-aged and elderly participants from a rehabilitation clinic or health examination department. The PSQI was used to evaluate sleep quality. The health-related fitness assessment included anthropometric and physical fitness parameters. Depressive symptoms were measured with the Center for Epidemiologic Studies Depression Scale (CES-D) short form. Data were analyzed with SPSS 18.0, and descriptive statistics and logistic regression analysis were used for the analyses.Results: Overall, 27.9% of participants in this study demonstrated poor sleep quality (with a PSQI score of >5), 10.2% of study participants frequently used sleep medication to help them fall asleep, and 6.0% reported having significant depressive symptoms (with a CES-D score of ≥10). There are two major findings: (1) depression symptoms, the number of chronic diseases, self-rated health, and arthritis were significantly associated with a poor sleep quality, and (2) the 2-min step test was associated with longer sleep latency. These results confirmed that the 2-min step was associated with a longer sleep latency among the health-related physical fitness items.Conclusions: Our study found that depressive syndrome, chronic disease numbers, a poor self-rated health status, and arthritis were the main risk factors that influenced subjective sleep quality.

Sleep quality in caregivers of patients with Alzheimer's disease and Parkinson's disease and its relationship to quality of life

2012 ◽  
Vol 24 (11) ◽  
pp. 1827-1835 ◽  
Author(s):  
Chiara Cupidi ◽  
Sabrina Realmuto ◽  
Gianluca Lo Coco ◽  
Antonio Cinturino ◽  
Simona Talamanca ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Alzheimer’S Disease ◽  
Depressive Symptoms ◽  
Sleep Quality ◽  
Sleep Disturbances ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Subjective Sleep Quality ◽  
Subjective Sleep

ABSTRACTBackground: Knowledge about sleep complaints of caregivers of patients with Alzheimer's disease (AD) and Parkinson's disease (PD) is limited, and we lack information about the relationship between caregivers’ sleep problems and their quality of life (QoL).Methods: We evaluated subjective sleep quality and its relationship to QoL in a group of 80 caregivers of patients with AD (ADCG, n = 40) and PD (PDCG, n = 40), and in 150 controls. Information about night-time complaints was collected using the Pittsburgh Sleep Quality Index (PSQI). QoL was measured using the McGill QoL Questionnaire.Results: Eighteen ADCG (45%), 22 PDCG (55%), and 45 (30%) controls reported poor sleep quality. Mean global PSQI score of PDCG (6.25 ± 3.9) was not significantly different from that of ADCG (5.8 ± 3.5; p = 0.67). However, both PDCG and ADCG scored significantly higher than control group (4.3 ± 3.1; p < 0.01). ADCG frequently reported difficulties falling asleep (72.5%) and disturbed sleep (100%). PDCG reported reduced subjective sleep quality (80%) and increased sleep disturbances (100%). Poor sleep quality was associated with depressive symptoms and correlated with QoL in caregivers of both groups, particularly the psychological symptoms domain.Conclusions: Among caregivers of patients with AD and PD, poor sleep quality is frequent and significantly linked to QoL and depressive symptoms. Identifying the nature of sleep disturbances not only in patients but also in their caregivers is important as appropriate treatment may lead to a better management of the needs of families coping with these patients.

scholarly journals The Association between Cardiorespiratory Fitness and Reported Physical Activity with Sleep Quality in Apparently Healthy Adults: A Cross-Sectional Study

2021 ◽  
Vol 18 (8) ◽  
pp. 4263
Author(s):  
Ahmad M. Osailan ◽  
Ragab K. Elnaggar ◽  
Saud F. Alsubaie ◽  
Bader A. Alqahtani ◽  
Walid Kamal Abdelbasset
Keyword(s):  
Physical Activity ◽  
Sleep Quality ◽  
Cardiorespiratory Fitness ◽  
Quality Index ◽  
Poor Sleep ◽  
Inverse Association ◽  
Poor Sleep Quality ◽  
Subjective Sleep Quality ◽  
Subjective Sleep ◽  
Apparently Healthy

Background: Recently, poor cardiorespiratory fitness (CRF) has been postulated as an adverse health outcome related to poor sleep quality. However, studies investigating the relationship between CRF and a subjective sleep quality index are scarce. Thus, the current study aimed to investigate the association between CRF and the Pittsburgh Sleep Quality Index (PSQI) in apparently healthy people. The secondary aim was to investigate the association between reported physical activity (PA) and PSQI. Methods: Thirty-three healthy male participants volunteered to participate. CRF (VO2PEAK) was measured via cardiopulmonary exercise testing on a treadmill. A short form of the International Physical Activity Questionnaire (IPAQ) was used to measure PA, and PSQI was used for the sleep quality index. Results: There was no correlation between CRF and PSQI total score or any component of the PSQI. There was a significant inverse correlation between IPAQ and PSQI total score (r = −0.36, p = 0.04). Categorical data analysis of the two questionnaires revealed that 42.4% of the participants who reported low physical activity also had poor sleep quality. Conclusions: The current study showed no association between CRF and the subjective sleep quality index but demonstrated a moderate inverse association between reported PA and subjective sleep quality index. The findings suggest that the more reported PA, the better the overall sleep quality.

scholarly journals 1019 Subjective Sleep Quality and Sleep Recommendations Received by Patients with Cancer and Depression

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A387-A387
Author(s):  
S N Price ◽  
J I Trejo ◽  
L M Halaby ◽  
D Guzman ◽  
Y Liu ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Sleep Quality ◽  
Physical Health ◽  
Poor Sleep ◽  
Cancer Type ◽  
Poor Sleep Quality ◽  
Subjective Sleep Quality ◽  
Subjective Sleep ◽  
Patients With Cancer ◽  
Adult Cancer Survivors

Abstract Introduction Diagnoses of cancer and depression are independent predictors of poor sleep, but less is known about subjective sleep quality among patients with both of these potential risk factors or about recommendations made by physicians for improving sleep among this population. This study examines correlates of poor subjective sleep quality and sleep recommendations received by patients with cancer enrolled in the Collaborative Oncology Project to Enhance Depression Care (COPE-D), a collaborative care intervention to treat depression among patients with cancer. Methods Participants were 74 adult cancer survivors. Demographic and clinical characteristics, subjective sleep quality, and provider sleep recommendations were obtained by patient self-report prior to intervention. Sleep quality was evaluated using the Pittsburgh Sleep Quality Index (PSQI), general health status was measured using the PROMIS Global-10, and depressive symptoms were measured using the PHQ-9. Results 81% of patients reported significantly poor sleep quality (PSQI global scores &gt;8) and 75.3% reported poor sleep efficiency (&lt;85%). The strongest correlates of poor sleep quality were worse global mental (r=-.431, p&lt;.01) and physical health (r=-.40, p=&lt;.01). 63% reported pain interference with sleep at least once per week. Cancer type and stage, current cancer treatment, and depressive symptoms were not significantly associated with poor sleep quality (p’s&gt;.05). 12% of those reporting sleep disturbances since their cancer diagnosis had not discussed these problems with a medical provider. Among those who talked to their provider, 41.8% reported receiving sleep hygiene recommendations, 40.5% anti-depressants, 14.9% sedative-hypnotic medication (e.g. zolpidem, benzodiazepines), 10.8% cognitive behavioral therapy, 9.6% antihistamines, 6.8% melatonin, and 4.1% were recommended meditation or hypnosis. Conclusion Cancer patients seeking treatment for depression report very high rates of poor subjective sleep quality, which was most strongly associated with global mental and physical health. Improved screening and patient-provider communication about sleep may be especially beneficial for this at-risk population. Support Merck Foundation Alliance to Advance Patient-Centered Cancer Care

scholarly journals Impact of pulmonary rehabilitation in sleep in COPD patients measured by actigraphy

PLoS ONE ◽  
2021 ◽  
Vol 16 (3) ◽  
pp. e0248466
Author(s):  
Suman B. Thapamagar ◽  
Kathleen Ellstrom ◽  
James D. Anholm ◽  
Ramiz A. Fargo ◽  
Nagamani Dandamudi
Keyword(s):  
Sleep Quality ◽  
Pulmonary Rehabilitation ◽  
Sleep Onset ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Subjective Sleep Quality ◽  
Subjective Sleep ◽  
Copd Patients ◽  
Before And After ◽  
Sleep Parameters

Introduction Chronic obstructive pulmonary disease (COPD) patients have poor sleep quality, longer time to sleep onset and frequent nocturnal awakenings. Poor sleep quality in COPD is associated with poor quality of life (QoL), increased exacerbations and increased mortality. Pulmonary rehabilitation (PR) improves functional status and QoL in COPD but effects on sleep are unclear. PR improves subjective sleep quality but there is paucity of objective actigraphy data. We hypothesized that actigraphy would demonstrate subjective and objective improvement in sleep following PR. Paired comparisons (t-test or Wilcoxon-signed-rank test) were performed before and after PR data on all variables. Methods This retrospective study of COPD patients undergoing PR utilized actigraphy watch recordings before and after 8-weeks of PR to assess changes in sleep variables including total time in bed (TBT), total sleep time (TST), sleep onset latency (SOL), sleep efficiency (SE), wakefulness after sleep onset (WASO) and total nocturnal awakenings. A change in Pittsburg Sleep Quality Index (PSQI) was a secondary outcome. PSQI was performed before and after PR. Results Sixty-nine patients were included in the final analysis. Most participants were male (97%), non-obese (median BMI 27.5, IQR 24.3 to 32.4 kg/m2) with an average age of 69 ± 8 years and 71% had severe COPD (GOLD stage 3 or 4). Prevalence of poor sleep quality (PSQI ≥5) was 86%. Paired comparisons did not show improvement in actigraphic sleep parameters following 8-weeks PR despite improvements in 6-min-walk distance (6MWD, mean improvement 54 m, 95% CI 34 m to 74 m, p<0.0001) and St. George’s Respiratory Questionnaire scores (SGRQ, mean improvement 7.7 points, 95% CI 5.2 to 10.2, p<0.0001). Stratified analysis of all sleep variables by severity of COPD, BMI, mood, mental status, 6-MWD and SGRQ did not show significant improvement after PR. In Veterans with poor sleep quality (PSQI ≥ 5), PR improved subjective sleep quality (PSQI, mean difference 0.79, 95% CI 0.07 to 1.40, p = 0.03). Conclusions Pulmonary rehabilitation improved subjective sleep quality in Veterans who had poor sleep quality at the beginning of the PR but did not improve objective sleep parameters by actigraphy. Our findings highlight the complex interactions among COPD, sleep and exercise.

scholarly journals Subjective sleep quality and association with depression syndrome, chronic disease and health-related physical fitness in middle-aged and elderly

2020 ◽  
Author(s):  
Shu-Chuan Ho ◽  
Min-Fang Hsu ◽  
Kang-Yun Lee ◽  
Tsung-Ching Lin ◽  
Wen-Te Liu
Keyword(s):  
Chronic Disease ◽  
Physical Fitness ◽  
Sleep Quality ◽  
Poor Sleep ◽  
Depression Symptom ◽  
Middle Aged ◽  
Poor Sleep Quality ◽  
Subjective Sleep Quality ◽  
Subjective Sleep ◽  
Health Related

Abstract BackgroundSleep quality as a complex phenomenon is difficult to define and measure objectively, multiple factors are related to sleep quality, such as age, lifestyle, physical activity, and physical fitness, are prominent in the older adult population. The aim of the present study was to evaluate subjective sleep quality using the Pittsburgh Sleep Quality Index (PSQI) and associate with the health-related physical fitness factors, depression symptom, and chronic disease numbers in middle-aged and elderly.MethodsWe enrolled a total of 283 participants with middle-aged and elderly from a rehabilitation clinic or health examination department. The PSQI was used to evaluate sleep quality. The health-related fitness assessment includes anthropometric and physical fitness. Depressive symptoms were measured by the Center for Epidemiologic Studies Depression Scale (CES-D) short form. Data were analyzed with SPSS 18.0, descriptive statistics and logistic regression analysis were performed for analysis.ResultsOverall, 27.9% of the participants in this study demonstrated poor sleep quality (PSQI score> 5), 10.2% of the study participants frequently used sleep medication to help them fall asleep, 6.0% reported having significant depressive symptoms (CES-D ≥ 10). The results have three major foundlings (1) depression symptom, number of chronic disease, self-rate health and arthritis were significantly associated with poor sleep quality, (2) age was associated with sleep disturbance, (3) two-min step was associated with longer sleep latency. This results confirmed two-min step was associated with longer sleep latency among the health-related physical fitness items.ConclusionOur studies found that depressive syndromes, chronic disease numbers, poor self-rated health status and arthritis were the main risk factors that influenced subjective sleep quality.

scholarly journals Poor Subjective Sleep Quality Is Associated with Poor Occupational Outcomes in Elite Soldiers

2020 ◽  
Vol 2 (2) ◽  
pp. 182-193
Author(s):  
Janna Mantua ◽  
Alexxa F. Bessey ◽  
Walter J. Sowden
Keyword(s):  
Sleep Quality ◽  
Functional Impairment ◽  
Sleep Loss ◽  
Role Overload ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Subjective Sleep Quality ◽  
Occupational Outcomes ◽  
Subjective Sleep ◽  
Work Session

We aimed to assess the relationship between subjective sleep quality and occupationally-relevant outcomes in military personnel. Participants were from an elite unit of US Army soldiers who worked extended (~30 h) shifts (with minimal recovery time between shifts) during 3-week work sessions. Questionnaires assessing subjective sleep quality during the month prior (Pittsburgh Sleep Quality Index [PSQI]) were administered at the beginning of the session. Occupational outcomes (emotional exhaustion, functional impairment, role overload, daytime sleepiness) were assessed on the final day of the session. Regression analyses were conducted to link sleep quality and occupational outcomes. The study sample participants had relatively poor sleep prior to the exercise (PSQI Global score average = 6.3 ± 3.1). Higher PSQI Global Scores prior to the work session longitudinally predicted daytime sleepiness (f2: 0.56) after the work session. PSQI component 7, which queries daytime dysfunction attributed to poor sleep quality, longitudinally predicted emotional exhaustion, functional impairment, and role overload (f2 range: 0.19–0.70). In conclusion, poor sleep quality—in aggregation with occupationally-mandated sleep loss—is predictive of poorer subsequent occupational outcomes. Future work should aim to increase sleep opportunities prior to occupationally-mandated sleep loss in order to build resilience when sleep loss is unavoidable.

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